Machine unlearning as the field most related to this paper, its notion was first proposed by Cao et al. [1]} in the context of statistical query learning.
Different from the class-level unlearning we defined, the goal of machine unlearning is more strict as it forgets a particular subset of samples within a class.
To unlearn a data sample, Cao et al. [1]} transforms the learning algorithms into a summation form that follows statistical query learning, breaking down the dependencies of training data.
However, the method in [1]} is not applicable to learning algorithms that cannot be
transformed into summation form, such as neural networks.
